Original provider: Institute of Ecology and Evolution of Russian Academy of Sciences Dataset credits: Boris Solovyev, Institute of Ecology and Evolution of Russian Academy of Sciences Marine Mammal Council Abstract: The data on observation of white whales (Delphinapterus leucas) during the planned sailing of the research scientific ship "Mikhail Somov" (Arkhangelsk–Wrangel Island–Arkhangelsk) from September 6 to December 6 2010 are presented. The results obtained confirm and correct the existing ideas of the distribution of white whales and directions of their migrations in seas of the Russian Arctic. Supplemental information: Aerial surveys were conducted on board a helicopter based at he Scientific-Expedition Ship Mikhail Somov. The tracks represent those of the helicopter. Tracks were provided as summarized shapefiles and are not registered in the OBIS-SEAMAP database. Thus, spatial and temporal exploration of the tracks is not available online. Among them, the tracks on 2010-10-08 are not shown due to the technical issue.

Beluga

Beluga Whale

10.15468/a7wpda

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Citations (56)

Whole-ocean network design and implementation pathway for Arctic marine conservation

npj Ocean Sustainability (2024)

T. D. James Martin Sommerkorn B. A. Solov’yev Н. Г. Платонов John C. Morrison

Abstract Forestalling the decline of global biodiversity requires urgent and transformative action at all levels of government and society, particularly in the Arctic Ocean and adjacent seas where rapid changes are already underway. Amid growing scientific support and mounting pressure, the majority of nations have committed to the most ambitious conservation targets yet. However, without an approach that inclusively and equitably reconciles conservation and sustainable ocean use, these targets will likely go unmet. Here, we present ArcNet: a network design framework to help achieve ocean-scale, area-based marine conservation in the Arctic. The framework is centred around a suite of web-based tools and a ~ 5.9 million km 2 network of 83 priority areas for conservation designed through expert-driven systematic conservation planning using conservation targets for over 800 features representing Arctic biodiversity. The ArcNet framework is intended to help adapt to new and emerging information, foster collaboration, and identify tailored conservation measures within a global context at different levels of planning and implementation.

Marine protected area

Marine conservation

10.1038/s44183-024-00047-9

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Citations (1)

Distribution of beluga whales (Delphinapterus leucas) in the Russian Arctic seas according to the results of expedition aboard RV Mikhail Somov, September–November 2010

Biology Bulletin (2012)

B. A. Solov’yev Н. Г. Платонов Д. М. Глазов О. В. Шпак В. В. Рожнов

Beluga Whale

Leucas

Beluga

Aerial Survey

10.1134/s1062359012070102

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Citations (4)

Plate Tectonic Map and Oil-Gas-Geological Zonation of North Caspian Depression

V. S. Shein V. V. Payrazyan A. A. Pazmyshlyayev B. A. Solov’yev

Depression

Source

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Citations (1)

Marine and Continental Salt-Bearing Formations of Kazakstan and Questions of their Oil-Gas Potential

I. N. Komissarov F. Ye. Sinitsyn B. A. Solov’yev S. B. Bakirov

Continental Margin

Source

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Tectonics of the Eastern Part of the North Caspian Depression

I. N. Komissarova B. A. Solov’yev

Depression

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Identifying a network of priority areas for conservation in the Arctic seas: Practical lessons from Russia

Aquatic Conservation Marine and Freshwater Ecosystems (2017)

B. A. Solov’yev В. А. Спиридонов Irina Onufrenya Stanislav Belikov Н. В. Чернова

Abstract The natural environment of the Arctic is changing rapidly owing to climate change. At the same time in many countries including Russia the region is attracting growing attention of decision‐makers and business communities. In light of the above it is necessary to protect the biodiversity of the regional marine ecosystems in the most effective way possible, namely by establishing a network of marine protected areas. Identifying conservation priority areas is a key step towards this goal. To achieve it, a study based on a systematic conservation planning approach was conducted. An expanded group of experts used the MARXAN algorithm to produce initial results, then discussed and refined them to select 47 conservation priority areas in the Russian Arctic seas. The resulting network covers nearly 25% of the Russian Arctic seas, which guarantees proportional representation of their biodiversity as well as achieving connectivity, sustainability and naturalness. This was largely made possible by the selected methodology, based on the MARXAN decision support tool supplemented by extensive post‐analysis that helped fill any gaps inevitable in the formal approach. Although available data were sparse, and of varying quality and a single regionalization scheme could not be used (as is often the case for such areas), the selected approach has proven successful for such a large area that covers both the coastal zone and parts of the High Seas. Such an approach could be used further to identify marine protected areas throughout the Arctic Ocean.

Marine protected area

Marine ecosystem

10.1002/aqc.2806

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Citations (18)